- Get four Apple AirTags for just $73 with this Black Friday deal
- I tested Beats' new Pill speaker and it delivered gloriously smooth sound (and it's on sale for Black Friday)
- These Sony headphones are a fan favorite - and $150 off for Black Friday
- I tested a 'luxury' nugget ice maker, and it's totally worth it - plus it's $150 off for Black Friday
- The Dyson Airwrap is $120 off ahead of Black Friday - finally
Top overlooked GenAI security risks for businesses
As GenAI continues to evolve, organizations of all sizes are wondering if, how, and to what extent to integrate it into their operations. Many are under pressure to show that they are adopting these new technologies and not falling behind the competition. But adding these new capabilities to your tech stack comes with a host of security risks. For executives and decision-makers, understanding these risks is crucial to safeguarding your business.
Understanding GenAI and security
GenAI refers to the next evolution of AI technologies: ones that learn from massive amounts of data how to generate new code, text, and images from conversational interfaces. Each generation of tools presents its own set of security challenges. As AI becomes more sophisticated, so too do the potential threats, especially in terms of organizational IP and personal privacy.
IP can include anything from patented technologies to trade secrets and proprietary business processes. In the age of AI, protecting this IP has become increasingly complex.
Privacy, on the other hand, pertains to the protection of personal data. With AI systems often reliant on vast amounts of data, ensuring this data remains private is a significant concern.
AI can steal your IP—and generate new IP for you to protect
Machine learning algorithms can be trained to reverse-engineer patented technologies. By analyzing the output and functionality of a technology, an AI system can infer the underlying processes and recreate them, effectively stealing the IP.
When AI systems generate their own IP, it raises the question of who owns the rights to this IP. Current IP laws are not designed to handle this scenario, leading to a legal gray area. If an AI system creates a new process or technology, the rights to this IP could potentially be claimed by the AI’s developer, the user who tasked the AI with creating the IP, or even the AI system itself.
This has significant implications for businesses. For instance, if a business uses an AI system to design a new product, who owns the rights to that product: the business or the AI’s developer? The answer to that question can have a huge impact on a business’s profitability and legal exposure going forward.
Data breaches and invasive data collection
AI systems can be exploited to gain unauthorized access to private data. For instance, adversarial attacks can be used to trick AI systems into revealing sensitive information. By inputting specially crafted data, an attacker can cause the AI system to output information it has been trained on, potentially revealing private data.
AI systems can collect and analyze vast amounts of data, some of which may be personal or sensitive. Without proper safeguards, this could lead to privacy infringements. For instance, an AI system could be used to analyze social media posts to infer personal information about individuals, potentially without their knowledge or consent.
This raises legal and ethical implications. For instance, such data collection could potentially violate data protection laws, leading to legal penalties for the business. It also raises ethical questions about the right to privacy in the digital age.
How should businesses mitigate the risks?
GenAI is behind some powerful new technologies that businesses are eager to leverage, but it would be a mistake to move ahead without implementing robust security measures. This could include encryption, secure AI training methods, and stringent access controls, along with regular security audits can also help identify and address potential vulnerabilities.
For IP generated by AI, businesses should seek legal advice to understand their rights and potential liabilities. Clear contracts and agreements can help prevent disputes over AI-generated IP.
Government and regulatory bodies also have a role to play in managing these risks. They can create regulations to protect IP and privacy, deliver guidance for businesses using AI, and enforce penalties for violations.
As generative AI becomes more prevalent in business, understanding and mitigating the associated security risks is crucial. By taking proactive steps to protect IP and privacy, businesses can harness the power of AI while minimizing potential threats. As executives and decision-makers, the responsibility to navigate these challenges and safeguard your business in the era of AI falls to you.
We recently shared the lessons we learned in our own AI journey! Listen to the on-demand recording to hear the trials and tribulations going through the AI learning curve. Learn more about how Stack Overflow for Teams helps the world’s top companies share knowledge and build their foundation for an AI future.
